Simulating ionization feedback from young massive stars: impact of numerical resolution

Posted by dbos MIT

Kavli Affiliate: Mark Vogelsberger | First 5 Authors: Yunwei Deng, Hui Li, Rahul Kannan, Aaron Smith, Mark Vogelsberger | Summary: Modelling galaxy formation in hydrodynamic simulations has increasingly adopted various radiative transfer methods to account for photoionization feedback from young massive stars. However, the evolution of HII regions around stars begins in dense star-forming clouds […]


Continue.. Simulating ionization feedback from young massive stars: impact of numerical resolution

Simulating ionization feedback from young massive stars: impact of numerical resolution

Posted by klaurent MIT

Kavli Affiliate: Mark Vogelsberger | First 5 Authors: Yunwei Deng, Hui Li, Rahul Kannan, Aaron Smith, Mark Vogelsberger | Summary: Modelling galaxy formation in hydrodynamic simulations has increasingly adopted various radiative transfer methods to account for photoionization feedback from young massive stars. However, the evolution of HII regions around stars begins in dense star-forming clouds […]


Continue.. Simulating ionization feedback from young massive stars: impact of numerical resolution

Kitaev chain in an alternating quantum dot-Andreev bound state array

Posted by dbos Delft

Kavli Affiliate: Michael Wimmer | First 5 Authors: Sebastian Miles, David van Driel, Michael Wimmer, Chun-Xiao Liu, | Summary: We propose to implement a Kitaev chain based on an array of alternating normal and superconductor hybrid quantum dots embedded in semiconductors. In particular, the orbitals in the dot and the Andreev bound states in the […]


Continue.. Kitaev chain in an alternating quantum dot-Andreev bound state array

Kitaev chain in an alternating quantum dot-Andreev bound state array

Posted by klaurent Delft

Kavli Affiliate: Michael Wimmer | First 5 Authors: Sebastian Miles, David van Driel, Michael Wimmer, Chun-Xiao Liu, | Summary: We propose to implement a Kitaev chain based on an array of alternating normal and superconductor hybrid quantum dots embedded in semiconductors. In particular, the orbitals in the dot and the Andreev bound states in the […]


Continue.. Kitaev chain in an alternating quantum dot-Andreev bound state array

Identifiability Matters: Revealing the Hidden Recoverable Condition in Unbiased Learning to Rank

Posted by dbos Peking

Kavli Affiliate: Zhuo Li | First 5 Authors: Mouxiang Chen, Chenghao Liu, Zemin Liu, Zhuo Li, Jianling Sun | Summary: Unbiased Learning to Rank (ULTR) aims to train unbiased ranking models from biased click logs, by explicitly modeling a generation process for user behavior and fitting click data based on examination hypothesis. Previous research found […]


Continue.. Identifiability Matters: Revealing the Hidden Recoverable Condition in Unbiased Learning to Rank

Identifiability Matters: Revealing the Hidden Recoverable Condition in Unbiased Learning to Rank

Posted by dbos Peking

Kavli Affiliate: Zhuo Li | First 5 Authors: Mouxiang Chen, Chenghao Liu, Zemin Liu, Zhuo Li, Jianling Sun | Summary: Unbiased Learning to Rank (ULTR) aims to train unbiased ranking models from biased click logs, by explicitly modeling a generation process for user behavior and fitting click data based on examination hypothesis. Previous research found […]


Continue.. Identifiability Matters: Revealing the Hidden Recoverable Condition in Unbiased Learning to Rank

Identifiability Matters: Revealing the Hidden Recoverable Condition in Unbiased Learning to Rank

Posted by klaurent Peking

Kavli Affiliate: Zhuo Li | First 5 Authors: Mouxiang Chen, Chenghao Liu, Zemin Liu, Zhuo Li, Jianling Sun | Summary: The application of Unbiased Learning to Rank (ULTR) is widespread in modern systems for training unbiased ranking models from biased click logs. The key is to explicitly model a generation process for user behavior and […]


Continue.. Identifiability Matters: Revealing the Hidden Recoverable Condition in Unbiased Learning to Rank

Galaxy mergers in Subaru HSC-SSP: a deep representation learning approach for identification and the role of environment on merger incidence

Posted by klaurent Tokyo

Kavli Affiliate: John D. Silverman | First 5 Authors: Kiyoaki Christopher Omori, Connor Bottrell, Mike Walmsley, Hassen M. Yesuf, Andy D. Goulding | Summary: We take a deep learning-based approach for galaxy merger identification in Subaru HSC-SSP, specifically through the use of deep representation learning and fine-tuning, with the aim of creating a pure and […]


Continue.. Galaxy mergers in Subaru HSC-SSP: a deep representation learning approach for identification and the role of environment on merger incidence

From Stoner to Local Moment Magnetism in Atomically Thin Cr2Te3

Posted by klaurent UCAS

Kavli Affiliate: Cheng Peng | First 5 Authors: Yong Zhong, Cheng Peng, Haili Huang, Dandan Guan, Jinwoong Hwang | Summary: The field of two-dimensional (2D) ferromagnetism has been proliferating over the past few years, with ongoing interests in basic science and potential applications in spintronic technology. However, a high-resolution spectroscopic study of the 2D ferromagnet […]


Continue.. From Stoner to Local Moment Magnetism in Atomically Thin Cr2Te3